Due to the recent explosive growth of smart TV and its applications, the need for multimedia contents analysis techniques for smart TV environment has dramatically increased. In particular, automatic video annotation and summarization technique is considered as one of the most important technique for smart TV because an enormous number of social videos are now becoming available as well as traditional digital videos such as TV programs and VODs. In this paper, we present an automatic video annotation technique which employs the ontologies to facilitate the video retrieval and sharing process in smart TV environment. In our work, ontologies are exploited to hierarchically describe the contents of video and facilitate the sharing of video con...
Abstract. An approach for knowledge assisted semantic analysis and annotation of video content, base...
In this paper, we present the dynamic pictorial ontology paradigm for video annotation. Ontologies ...
In this paper we investigate semi-automatic construction of multimedia ontologies using a data-drive...
AbstractNumerous educational video lectures, CCTV surveillance, transport and other types have upgra...
An approach for automatic annotation and retrieval of video content uses semantic concept classifier...
none2noIn this paper we propose ontology-based video content annotation and recommendation tools. Ou...
Abstract—As the multimedia content over the internet is increasing day by day, efficient methods for...
A system for the automatic creation of Pictorially Enriched Ontologies is presented, that is ontolog...
This article presents a framework for automatic semantic annotation of video streams with an ontolog...
This article presents a framework for automatic semantic annotation of video streams with an ontolog...
This work studies a problem of personalization in the domain of content-based retrieval of home vide...
Effective usage of multimedia digital libraries has to deal with the problem of building efficient c...
To encode, query and present the semantic content of digital video precisely and flexibly is very us...
The availability of annotated multimedia contents is a crucial requirement for a number of applicati...
This paper deals with the problem of semantic transcoding of CCTV video footage. A framework is prop...
Abstract. An approach for knowledge assisted semantic analysis and annotation of video content, base...
In this paper, we present the dynamic pictorial ontology paradigm for video annotation. Ontologies ...
In this paper we investigate semi-automatic construction of multimedia ontologies using a data-drive...
AbstractNumerous educational video lectures, CCTV surveillance, transport and other types have upgra...
An approach for automatic annotation and retrieval of video content uses semantic concept classifier...
none2noIn this paper we propose ontology-based video content annotation and recommendation tools. Ou...
Abstract—As the multimedia content over the internet is increasing day by day, efficient methods for...
A system for the automatic creation of Pictorially Enriched Ontologies is presented, that is ontolog...
This article presents a framework for automatic semantic annotation of video streams with an ontolog...
This article presents a framework for automatic semantic annotation of video streams with an ontolog...
This work studies a problem of personalization in the domain of content-based retrieval of home vide...
Effective usage of multimedia digital libraries has to deal with the problem of building efficient c...
To encode, query and present the semantic content of digital video precisely and flexibly is very us...
The availability of annotated multimedia contents is a crucial requirement for a number of applicati...
This paper deals with the problem of semantic transcoding of CCTV video footage. A framework is prop...
Abstract. An approach for knowledge assisted semantic analysis and annotation of video content, base...
In this paper, we present the dynamic pictorial ontology paradigm for video annotation. Ontologies ...
In this paper we investigate semi-automatic construction of multimedia ontologies using a data-drive...